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Related Concept Videos

Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
Drug Discovery: Overview01:26

Drug Discovery: Overview

Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
Ligand Binding Sites02:40

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Ligand Binding Sites02:40

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
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G Protein-coupled Receptors01:15

G Protein-coupled Receptors

G Protein-Coupled Receptors or GPCRs are membrane-bound receptors that transiently associate with heterotrimeric G proteins and induce an appropriate response to sensory stimuli such as light, odors, hormones, cytokines, or neurotransmitters.
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Updated: Jul 13, 2026

Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery
06:26

Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery

Published on: May 16, 2021

Large compound databases for structure-activity relationships studies in drug discovery.

Thomas Scior1, Philippe Bernard, José Luis Medina-Franco

  • 1Departamento de Farmacia, Facultad de Ciencias Químicas, Benemérita Universidad Autónoma de Puebla, Puebla, Pue, México. tscior@siu.buap.mx

Mini Reviews in Medicinal Chemistry
|August 19, 2007
PubMed
Summary

Drug discovery utilizes large chemical libraries and automated informatics to analyze structure-activity relationships. This review covers public databases and the GPDBnet tool for plant-based pharmacology research.

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Last Updated: Jul 13, 2026

Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery
06:26

Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery

Published on: May 16, 2021

Area of Science:

  • Computational chemistry and pharmacology
  • Bioinformatics and cheminformatics
  • Drug discovery and development

Background:

  • Drug discovery relies on vast chemical libraries and data analysis to understand structure-activity relationships (SAR).
  • Automated informatics solutions are increasingly vital for efficient screening of potential drug candidates.
  • Phyto-pharmacology, the study of plant-derived compounds, presents unique challenges and opportunities in drug discovery.

Purpose of the Study:

  • To review publicly accessible databases for chemical compounds relevant to drug discovery.
  • To introduce and discuss the integrated data mining tool GPDBnet for phyto-pharmacology research.
  • To highlight the importance of informatics solutions in modern drug discovery workflows.

Main Methods:

  • Literature review of disseminated user descriptions for public chemical databases.
  • Description of the GPDBnet integrated data mining tool.
  • Analysis of informatics approaches for studying SAR in drug discovery.

Main Results:

  • Identification and overview of several publicly available chemical compound databases.
  • Demonstration of GPDBnet's utility in mining phyto-pharmacological data.
  • Emphasis on the trend towards automated systems for SAR analysis.

Conclusions:

  • Public databases and specialized tools like GPDBnet are crucial resources for drug discovery.
  • Automated informatics significantly enhances the efficiency of SAR studies.
  • Integrated data mining approaches are essential for advancing phyto-pharmacology and drug discovery.